Original Research

Published on 22 Mar 2024

Developing a hybrid data-driven and informed model for prediction and mitigation of agricultural nitrous oxide flux hotspots

in Big Data, AI, and the Environment

Nikhil Vemuri

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1353049

1,726 views
1 citation

Original Research

Published on 12 Mar 2024

Exploring the structure of the digital economy through blockchain technology and mitigating adverse environmental effects with the aid of artificial neural networks

in Big Data, AI, and the Environment

Tengwei Cai
Zexin Hong

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1315812

4,520 views

Original Research

Published on 12 Mar 2024

Enhancing environmental management through big data: spatial analysis of urban ecological governance and big data development

in Big Data, AI, and the Environment

Yunliang Lei

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1358296

1,826 views
1 citation

Original Research

Published on 05 Mar 2024

Enhanced defluoridation by nano-crystalline alum-doped hydroxyapatite and artificial intelligence (AI) modeling approach

in Big Data, AI, and the Environment

Nitin Pratap Varma
Alok Sinha
Sunil Kumar Gupta
Jaydev Kumar Mahato
Priyankar Chand

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1363724

4,259 views

Review

Published on 20 Feb 2024

Artificial intelligence and IoT driven technologies for environmental pollution monitoring and management

in Big Data, AI, and the Environment

Simona Mariana Popescu
Sheikh Mansoor
Owais Ali Wani
Shamal Shasang Kumar
Vikas Sharma
Arpita Sharma
Vivak M. Arya
M. B. Kirkham
Deyi Hou
Nanthi Bolan

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1336088

20,115 views
20 citations

Original Research

Published on 16 Feb 2024

Predicting groundwater level using traditional and deep machine learning algorithms

in Big Data, AI, and the Environment

Fan Feng
Hamzeh Ghorbani
Ahmed E. Radwan

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1291327

5,453 views
5 citations

Original Research

Published on 12 Feb 2024

Integrated flood risk assessment in Hunza-Nagar, Pakistan: unifying big climate data analytics and multi-criteria decision-making with GIS

in Big Data, AI, and the Environment

Muhammad Ahsan Mukhtar
Donghui Shangguan
Yongjian Ding
Muhammad Naveed Anjum
Abhishek Banerjee
Asim Qayyum Butt
Nilesh yadav
Da Li
Qin Yang
Amjad Ali Khan

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1337081

2,979 views
3 citations

Original Research

Published on 23 Jan 2024

Assessing the effectiveness of national park’s policies and laws in promoting biodiversity conservation and ecological development in Pakistan

in Big Data, AI, and the Environment

Banafsha Javeed
Delin Huang
Donghui Shangguan
Muhammad Ahsan Mukhtar
Wasim Sajjad
Abhishek Banerjee
Qin Yang
Asim Qayyum Butt

Frontiers in Environmental Science

doi 10.3389/fenvs.2023.1333650

2,628 views
4 citations

Brief Research Report

Published on 23 Jan 2024

Predicting climate change using an autoregressive long short-term memory model

in Big Data, AI, and the Environment

Seokhyun Chin
Victoria Lloyd

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1301343

4,084 views
2 citations

Original Research

Published on 18 Jan 2024

Assessing the existing guidelines of environmental impact assessment and mitigation measures for future hydropower projects in Pakistan

in Big Data, AI, and the Environment

Asim Qayyum Butt
Donghui Shangguan
Yongjian Ding
Abhishek Banerjee
Wasim Sajjad
Muhammad Ahsan Mukhtar

Frontiers in Environmental Science

doi 10.3389/fenvs.2023.1342953

2,205 views
3 citations

Original Research

Published on 08 Jan 2024

A novel fast and efficient adaptive shuffled complex evolution algorithm for model parameter calibration

in Big Data, AI, and the Environment

Junxiang Liu
Haicheng Hong
Weinan Fan
Yilong Chen

Frontiers in Environmental Science

doi 10.3389/fenvs.2023.1341017

1,134 views
2 citations

Original Research

Published on 05 Jan 2024

Refined machine learning modeling of reservoir discharge water temperature

in Big Data, AI, and the Environment

Xiang Huang
Gang Chen

Frontiers in Environmental Science

doi 10.3389/fenvs.2023.1328723

1,741 views
1 citation

Original Research

Published on 15 Dec 2023

National ground-level NO2 predictions via satellite imagery driven convolutional neural networks

in Big Data, AI, and the Environment

Elton L. Cao

Frontiers in Environmental Science

doi 10.3389/fenvs.2023.1285471

2,422 views
2 citations

Original Research

Published on 05 Dec 2023

Performance and sustainability evaluation of rural digitalization and its driving mechanism: evidence from Hunan province of China

in Big Data, AI, and the Environment

Zhipeng Xing
Sidong Zhao
Di Wang

Frontiers in Environmental Science

doi 10.3389/fenvs.2023.1326592

958 views
1 citation

Original Research

Published on 26 Oct 2023

A cascade ensemble-learning model for the deployment at the edge: case on missing IoT data recovery in environmental monitoring systems

in Big Data, AI, and the Environment

Ivan Izonin
Roman Tkachenko
Iurii Krak
Oleh Berezsky
Ihor Shevchuk
Shishir Kumar Shandilya

Frontiers in Environmental Science

doi 10.3389/fenvs.2023.1295526

1,735 views
5 citations

Original Research

Published on 26 Sep 2023

Associations between greenspace characteristics and population emotion perceptions in three dimensions

in Big Data, AI, and the Environment

Zheng Cao
Ye Cao
Zhifeng Wu

Frontiers in Environmental Science

doi 10.3389/fenvs.2023.1228717

3,239 views

Navigation group

Articles

Developing a hybrid data-driven and informed model for prediction and mitigation of agricultural nitrous oxide flux hotspots

Exploring the structure of the digital economy through blockchain technology and mitigating adverse environmental effects with the aid of artificial neural networks

Enhancing environmental management through big data: spatial analysis of urban ecological governance and big data development

Enhanced defluoridation by nano-crystalline alum-doped hydroxyapatite and artificial intelligence (AI) modeling approach

Artificial intelligence and IoT driven technologies for environmental pollution monitoring and management

Predicting groundwater level using traditional and deep machine learning algorithms

Integrated flood risk assessment in Hunza-Nagar, Pakistan: unifying big climate data analytics and multi-criteria decision-making with GIS

Assessing the effectiveness of national park’s policies and laws in promoting biodiversity conservation and ecological development in Pakistan

Predicting climate change using an autoregressive long short-term memory model

Assessing the existing guidelines of environmental impact assessment and mitigation measures for future hydropower projects in Pakistan

A novel fast and efficient adaptive shuffled complex evolution algorithm for model parameter calibration

Refined machine learning modeling of reservoir discharge water temperature

National ground-level NO2 predictions via satellite imagery driven convolutional neural networks

Performance and sustainability evaluation of rural digitalization and its driving mechanism: evidence from Hunan province of China

A cascade ensemble-learning model for the deployment at the edge: case on missing IoT data recovery in environmental monitoring systems

Associations between greenspace characteristics and population emotion perceptions in three dimensions